公开(公告)号：US20230149726A1

公开(公告)日：2023-05-18

申请号：US18155803

申请日：2023-01-18

Applicant: Medtronic, Inc.

Inventor： Siddharth Dani ,  Tarek D. Haddad ,  Donald R. Musgrove ,  Andrew Radtke ,  Niranjan Chakravarthy ,  Rodolphe Katra ,  Lindsay A. Pedalty

IPC: A61N1/39 ,  G16H50/50 ,  G16H10/60 ,  G16H50/20 ,  G16H40/63 ,  A61N1/365

CPC classification number: A61N1/3956 ,  G16H50/50 ,  G16H10/60 ,  G16H50/20 ,  G16H40/63 ,  A61N1/36592

Abstract: Techniques are disclosed for monitoring a patient for the occurrence of a cardiac arrhythmia. A computing system generates sample probability values by applying a machine learning model to sample patient data. The machine learning model determines a respective probability value that indicates a probability that the cardiac arrhythmia occurred during each respective temporal window. The computing system outputs a user interface comprising graphical data based on the sample probability values and receives, via the user interface, an indication of user input to select a probability threshold for a patient. The computing system receives patient data for the patient and applies the machine learning model to the patient data to determine a current probability value. In response to the determination that the current probability exceeds the probability threshold for the patient, the computing system generates an alert indicating the patient has likely experienced the occurrence of the cardiac arrhythmia.

公开(公告)号：US20210344880A1

公开(公告)日：2021-11-04

申请号：US17215419

申请日：2021-03-29

Applicant: Medtronic, Inc.

Inventor： Rodolphe Katra ,  Amie Bucksa ,  Niranjan Chakravarthy

IPC: H04N7/18 ,  G16H10/60 ,  G16H40/67 ,  G16H30/20 ,  G16H30/40 ,  G16H50/70 ,  G16H40/40 ,  G06N20/00 ,  G06T7/00 ,  H04N5/232 ,  A61B90/00

Abstract: Techniques for remote monitoring of a patient and corresponding medical device(s) are described. The remote monitoring comprises determining identification data and identifying implantable medical device (IMD) information, initiating an imaging device and determining an imaging program, receiving one or more frames of image data including image(s) of an implantation site, identifying an abnormality at the implantation site, triggering a supplemental image capture mode, receiving one or more supplemental images of the implantation site, and outputting the one or more supplemental images of the implantation site.

公开(公告)号：US20210338138A1

公开(公告)日：2021-11-04

申请号：US17377785

申请日：2021-07-16

Applicant: Medtronic, Inc.

Inventor： Lindsay A. Pedalty ,  Niranjan Chakravarthy ,  Rodolphe Katra ,  Tarek D. Haddad ,  Andrew Radtke ,  Siddharth Dani ,  Donald R. Musgrove

IPC: A61B5/361 ,  A61B5/00 ,  A61B5/316 ,  A61B5/322 ,  A61B5/352 ,  A61B5/363

Abstract: Techniques are disclosed for explaining and visualizing an output of a machine learning system that detects cardiac arrythmia in a patient. In one example, a computing device receives cardiac electrogram data sensed by a medical device. The computing device applies a machine learning model, trained using cardiac electrogram data for a plurality of patients, to the received cardiac electrogram data to determine, based on the machine learning model, that an episode of arrhythmia has occurred in the patient and a level of confidence in the determination that the episode of arrhythmia has occurred in the patient. In response to determining that the level of confidence is greater than a predetermined threshold, the computing device displays, to a user, a portion of the cardiac electrogram data, an indication that the episode of arrhythmia has occurred, and an indication of the level of confidence that the episode of arrhythmia has occurred.